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ACE Practice Question: A team is designing a data pipeline: Cloud…

This ACE practice question tests your understanding of a team is designing a data pipeline: cloud…. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A team is designing a data pipeline: Cloud Storage → Pub/Sub → Dataflow → BigQuery. They expect 50 GB of data per hour. Dataflow jobs must automatically scale workers based on pipeline backlog. Which Dataflow feature provides automatic horizontal scaling of worker VMs?

Question 1hardmultiple choice
Full question →

A team is designing a data pipeline: Cloud Storage → Pub/Sub → Dataflow → BigQuery. They expect 50 GB of data per hour. Dataflow jobs must automatically scale workers based on pipeline backlog. Which Dataflow feature provides automatic horizontal scaling of worker VMs?

Answer choices

Why each option matters

Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.

A

Distractor review

Vertical scaling — Dataflow automatically increases worker machine types under load

Dataflow scales horizontally (adds/removes workers) — it doesn't automatically change machine types (vertical scaling) during a job run.

B

Distractor review

Cloud Monitoring alerting policy that triggers worker additions via gcloud

Manual alerting-based scaling adds latency and is error-prone — Dataflow's built-in autoscaler handles this automatically.

C

Best answer

Dataflow Horizontal Autoscaling — automatically adds/removes workers based on pipeline lag

Dataflow's horizontal autoscaler monitors pipeline backlog and adjusts the number of worker VMs to maintain throughput — enabled by default for streaming and configurable for batch.

D

Distractor review

GKE cluster autoscaler — Dataflow runs on GKE and inherits its autoscaling

Dataflow does not run on GKE — it manages its own worker VM fleet. The GKE autoscaler is irrelevant for Dataflow.

Common exam trap

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Technical deep dive

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Related practice questions

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FAQ

Questions learners often ask

What does this ACE question test?

Read the scenario before looking for a memorised answer.

What is the correct answer to this question?

The correct answer is: Dataflow Horizontal Autoscaling — automatically adds/removes workers based on pipeline lag — Dataflow's Horizontal Autoscaling (enabled by default) automatically adds or removes worker VMs based on pipeline throughput and lag. It adjusts the number of workers in the Streaming Engine or batch runner pool to maintain throughput. No manual intervention is needed for worker count management.

What should I do if I get this ACE question wrong?

Identify which ACE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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This ACE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the ACE exam.